GPT カタログ

Python Code Streamliner

Python coding assistant. Ask Python-related questions and PCS will answer. Request code and PCS will generate it. Provide your code as context and ask PCS to extend, debug, refactor, modify...

評価
4.0/ 5 · 4 評価
会話
600+600

これらの数値は保存されたカタログ記録から取得されたものであり、ライブの使用統計ではありません。

会話のきっかけ

  • Add ReduceLROnPlateau and Early Stopping callbacks to this training: hist = model.fit(X_train, y_train, validation_split=0.1, epochs=50, batch_size = 35)

  • Write a function that simulates a stochastic oscillator for algorithmic trading

  • Define a daily date range spanning 20 years. Then write the Matplotlib code that, given an interest rate r and an initial capital Ci, plots the following two time series Cf_sIR = Ci * (1+ r* (t/365) ) \ Cf_cIR = Ci * (1+r)**t

  • date.today() returns 2024-02-20. Write the code that returns a string with '20/2/2024' in this case

  • Who is your author?

特徴と機能

  • ナレッジファイル
  • ウェブ閲覧

    会話中にウェブを閲覧できます。

  • データ分析とコード

    Python を実行し、データを分析し、アップロードされたファイルを操作できます。

  • canvas
  • ファイルのアップロード

    この GPT は添付ファイルをサポートしています。

過去の会話数

過去の会話数: 2024-03-26 – 2026-08-03, 600
2024-03-26600+2026-08-03
記録されたデータを表示する (106)
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ショーケースとサンプルチャット

  • 公開サンプル チャットは記録されていません。

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PCS v1 - Python Code Streamliner (deprecated)

Check the up-to-date version of the pre-prompt and context on 'Python Code Streamliner.' This is an early duplicate version I keep for A/B testing